The current study combined the Walker (2008) and Klales et al. (2012) methods to score non-metric cranial and pelvic traits on modern white and black South Africans. The contributions of genetics and the environment has led to population-specific distribution of non-metric traits (Garvin 2012). Krüger et al. (nd), demonstrated that the Walker (2008) method is applicable to a modern South African sample; however, the degree of expression is unique to the population. Similarly, high classification accuracies are noted on modern South Africans for non-metric pelvic traits for Klales et al. (2012) (Kenyhercz 2012). The purpose of this study was to combine non-metric data from 71 corresponding skulls and innominates to examine the degree of sexual dimorphism in a modern South African sample as well as to examine correct classifications derived from these non-metric traits. Depending on the statistical analysis and variables employed, correct classifications ranged from 82-100%. The traits from the innominate consistently provided higher classifications than traits from the skull, even outperforming a combination of skull and innominate traits, thus indicating greater sexual dimorphism in the innominate as opposed to the skull in modern South Africans.